Microsoft engineer Shane Jones raised concerns about the safety of OpenAI's DALL-E 3 back in January, suggesting the product has security vulnerabilities that make it easy to create violent or sexually explicit images. He also alleged that Microsoft's legal team blocked his attempts to alert the public to the issue. Now, he has taken his complaint directly to the FTC, as reported by CNBC. "I have repeatedly urged Microsoft to remove Copilot Designer from public use until better safeguards could be put in place," Jones wrote in a letter to FTC Chair Lina Khan. He noted that Microsoft "refused that recommendation" so now he's asking the company to add disclosures to the product to alert consumers to the alleged danger. Jones also wants the company to change the rating on the app to make sure it's only for adult audiences.

Despite years of evidence to the contrary, many Republicans still believe that President Joe Biden's win in 2020 was illegitimate. A number of election denying candidates won their primaries during Super Tuesday, including Brandon Gill, the son-in-law of right-wing pundit Dinesh D'Souza and promoter of the debunked 2000 Mules film. Going into this year's elections, claims of election fraud remain a staple for candidates running on the right, fueled by dis- and misinformation, both online and off. And the advent of generative AI has the potential to make the problem worse. A new report from the Center for Countering Digital Hate (CCDH), a nonprofit that tracks hate speech on social platforms, found that even though generative AI companies say they've put policies in place to prevent their image-creating tools from being used to spread election-related disinformation, researchers were able to circumvent their safeguards and create the images anyway.

Elon Musk supported making OpenAI a for-profit company, the ChatGPT maker said, attacking a lawsuit from the wealthy investor who has accused the artificial intelligence business of betraying its founding goal to benefit humanity as it pursued profits instead. In its first response since the Tesla CEO sued last week, OpenAI vowed to get the claim thrown out and released emails from Musk, escalating the feud between the San Francisco-based company and the billionaire that bankrolled its creation years ago. "The mission of OpenAI is to ensure AGI benefits all of humanity, which means both building safe and beneficial AGI and helping create broadly distributed benefits," OpenAI said in a blog post late Tuesday from five company executives and computer scientists, including CEO Sam Altman. "We intend to move to dismiss all of Elon's claims." AGI refers to artificial general intelligence, which are general purpose AI systems that can perform just as well as -- or even better than -- humans in a wide variety of tasks.

The video that OpenAI released to unveil its new text-to-video tool, Sora, has to be seen to be believed. The demonstration reportedly prompted movie producer Tyler Perry to pause an 800m studio investment. Tools like Sora promise to translate a user's vision into realistic moving images with a simple text prompt, the logic goes, making studios obsolete. Others worry that artificial intelligence (AI) like this could be exploited by those with darker imaginations. Malicious actors could use these services to create highly realistic deepfakes, confusing or misleading voters during an election or simply causing chaos by seeding divisive rumours.

Whether through the frowning high-definition face of a chimpanzee or a psychedelic, pink-and-red-hued doppelganger of himself, Reuven Cohen uses AI-generated images to catch people's attention. "I've always been interested in art and design and video and enjoy pushing boundaries," he says--but the Toronto-based consultant, who helps companies develop AI tools, also hopes to raise awareness of the technology's darker uses. "It can also be specifically trained to be quite gruesome and bad in a whole variety of ways," Cohen says. He's a fan of the freewheeling experimentation that has been unleashed by open source image-generation technology. But that same freedom enables the creation of explicit images of women used for harassment.

OpenAI has hit back at Elon Musk's lawsuit accusing it of betraying its altruistic roots, claiming the Tesla chief executive had in fact supported the artificial intelligence company's plans to create a for-profit unit. Executives at the ChatGPT maker released a blogpost containing what it claimed was historical email correspondence with Musk in which the entrepreneur suggested merging the San Francisco-based startup with Tesla and said it should attach to the electric carmaker "as its cash cow". The blog, authored by OpenAI executives including its chief executive, Sam Altman, claims that in 2017 "we and Elon decided the next step for the mission was to create a for-profit entity". Last week Musk filed a lawsuit accusing OpenAI, where he was a founding board member, of deviating from its foundational mission by forming a for-profit unit – and putting making money before its core aim of producing technology for the benefit of humanity. "We're sad that it's come to this with someone whom we've deeply admired – someone who inspired us to aim higher, then told us we would fail, started a competitor, and then sued us when we started making meaningful progress towards OpenAI's mission without him," said OpenAI.

Last week saw the release of Kara Swisher's Burn Book, the highly anticipated career memoir from a titanic, justly celebrated veteran of tech journalism. Considering her unique, outsize stature in Silicon Valley, and her decadeslong record of landing bombshell inside scoops about the single most important industry of the 21st century, Swisher's choice to promote her latest project with the help of famous friends (Don Lemon, Massachusetts Gov. Maura Healey, etc.) certainly makes sense. What makes much less sense, however, is her selection of tech-world executives. The book tour is going to be lit -- with guest moderators like @RobertIger, @laurenepowell, @mcuban, @donlemon, @reidhoffman, @sama and more. Some of the "moderators" on her tour include Laurene Powell Jobs, Disney CEO Bob Iger, OpenAI CEO Sam Altman, LinkedIn co-founder Reid Hoffman, and Lean In board member Adam Grant. Per NPR's Steve Inskeep, she personally requested that these folks "interview her on stage," in a series of conversations she intends to turn into individual podcast episodes.

Elon Musk, who sued OpenAI for violating its non-profit mission and chasing profits, allegedly wanted the organization to merge with Tesla when it was starting to plan its transition into a for-profit entity in order to accomplish its goals. Well, either that or get full control of the company, OpenAI said in a blog post. The organization responded to Musk's lawsuit by publishing old emails from 2015 to 2018 when he was still involved in its operations. When OpenAI introduced itself to the world back in 2015, it announced that it had 1 billion in funding. Apparently, Musk was the one who suggested that figure, even though OpenAI had raised less than 45 million from him and around 90 million from other donors.

This study investigates the generation of synthetic disinformation by OpenAI's Large Language Models (LLMs) through prompt engineering and explores their responsiveness to emotional prompting. Leveraging various LLM iterations using davinci-002, davinci-003, gpt-3.5-turbo and gpt-4, we designed experiments to assess their success in producing disinformation. Our findings, based on a corpus of 19,800 synthetic disinformation social media posts, reveal that all LLMs by OpenAI can successfully produce disinformation, and that they effectively respond to emotional prompting, indicating their nuanced understanding of emotional cues in text generation. When prompted politely, all examined LLMs consistently generate disinformation at a high frequency. Conversely, when prompted impolitely, the frequency of disinformation production diminishes, as the models often refuse to generate disinformation and instead caution users that the tool is not intended for such purposes. This research contributes to the ongoing discourse surrounding responsible development and application of AI technologies, particularly in mitigating the spread of disinformation and promoting transparency in AI-generated content.

The recent surge in research focused on generating synthetic data from large language models (LLMs), especially for scenarios with limited data availability, marks a notable shift in Generative Artificial Intelligence (AI). Their ability to perform comparably to real-world data positions this approach as a compelling solution to low-resource challenges. This paper delves into advanced technologies that leverage these gigantic LLMs for the generation of task-specific training data. We outline methodologies, evaluation techniques, and practical applications, discuss the current limitations, and suggest potential pathways for future research.